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        Note that additional data was saved in deduplicated_multiqc_report_data when this report was generated.


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        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411

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        About MultiQC

        This report was generated using MultiQC, version 1.21

        You can see a YouTube video describing how to use MultiQC reports here: https://youtu.be/qPbIlO_KWN0

        For more information about MultiQC, including other videos and extensive documentation, please visit http://multiqc.info

        You can report bugs, suggest improvements and find the source code for MultiQC on GitHub: https://github.com/MultiQC/MultiQC

        MultiQC is published in Bioinformatics:

        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411

        A modular tool to aggregate results from bioinformatics analyses across many samples into a single report.

        Report generated on 2024-04-11, 13:10 EDT based on data in: /work/gmgi/Fisheries/epiage/haddock/methylation/deduplicated


        General Statistics

        Showing 68/68 rows and 1/2 columns.
        Sample Name% Dups
        Mae-263_S1_R1_001_val_1
        30.6%
        Mae-266_S2_R1_001_val_1
        27.5%
        Mae-274_S3_R1_001_val_1
        36.0%
        Mae-278_S4_R1_001_val_1
        31.9%
        Mae-281_S5_R1_001_val_1
        34.9%
        Mae-285_S6_R1_001_val_1
        35.7%
        Mae-293_S7_R1_001_val_1
        34.2%
        Mae-294_S8_R1_001_val_1
        41.0%
        Mae-295_S9_R1_001_val_1
        33.7%
        Mae-298_S10_R1_001_val_1
        32.0%
        Mae-302_S11_R1_001_val_1
        40.2%
        Mae-305_S12_R1_001_val_1
        36.0%
        Mae-310_S13_R1_001_val_1
        31.2%
        Mae-311_S14_R1_001_val_1
        33.6%
        Mae-317_S15_R1_001_val_1
        36.4%
        Mae-322_S16_R1_001_val_1
        27.7%
        Mae-327_S17_R1_001_val_1
        35.3%
        Mae-329_S18_R1_001_val_1
        34.2%
        Mae-330_S19_R1_001_val_1
        31.8%
        Mae-338_S20_R1_001_val_1
        31.9%
        Mae-342_S21_R1_001_val_1
        40.3%
        Mae-343_S22_R1_001_val_1
        27.9%
        Mae-344_S23_R1_001_val_1
        32.1%
        Mae-350_S24_R1_001_val_1
        32.2%
        Mae-352_S25_R1_001_val_1
        27.9%
        Mae-356_S26_R1_001_val_1
        27.4%
        Mae-368_S27_R1_001_val_1
        29.1%
        Mae-371_S28_R1_001_val_1
        28.6%
        Mae-378_S29_R1_001_val_1
        33.5%
        Mae-390_S32_R1_001_val_1
        34.7%
        Mae-396_S33_R1_001_val_1
        27.9%
        Mae-399_S34_R1_001_val_1
        25.9%
        Mae-403_S35_R1_001_val_1
        30.2%
        Mae-405_S36_R1_001_val_1
        23.2%
        Mae-410_S37_R1_001_val_1
        29.4%
        Mae-414_S38_R1_001_val_1
        27.2%
        Mae-421_S39_R1_001_val_1
        27.1%
        Mae-422_S40_R1_001_val_1
        27.1%
        Mae-424_S41_R1_001_val_1
        25.8%
        Mae-428_S42_R1_001_val_1
        30.9%
        Mae-432_S43_R1_001_val_1
        27.1%
        Mae-436_S44_R1_001_val_1
        24.0%
        Mae-440_S45_R1_001_val_1
        29.4%
        Mae-441_S46_R1_001_val_1
        25.2%
        Mae-449_S48_R1_001_val_1
        27.9%
        Mae-454_S49_R1_001_val_1
        25.9%
        Mae-464_S50_R1_001_val_1
        40.6%
        Mae-468_S51_R1_001_val_1
        33.7%
        Mae-470_S52_R1_001_val_1
        34.9%
        Mae-474_S57_R1_001_val_1
        28.4%
        Mae-475_S53_R1_001_val_1
        27.6%
        Mae-477_S54_R1_001_val_1
        30.5%
        Mae-481_S55_R1_001_val_1
        29.4%
        Mae-488_S56_R1_001_val_1
        25.9%
        Mae-495_S47_R1_001_val_1
        41.2%
        Mae-496_S58_R1_001_val_1
        38.1%
        Mae-499_S59_R1_001_val_1
        32.7%
        Mae-501_S60_R1_001_val_1
        32.1%
        Mae-502_S61_R1_001_val_1
        30.9%
        Mae-509_S62_R1_001_val_1
        31.3%
        Mae-512_S63_R1_001_val_1
        31.8%
        Mae-519_S64_R1_001_val_1
        29.2%
        Mae-520_S65_R1_001_val_1
        31.2%
        Mae-524_S66_R1_001_val_1
        36.0%
        Mae-525_S67_R1_001_val_1
        28.6%
        Mae-533_S68_R1_001_val_1
        30.7%
        Mae-535_S69_R1_001_val_1
        29.9%
        Mae-537_S70_R1_001_val_1
        27.6%

        Bismark

        Bismark is a tool to map bisulfite converted sequence reads and determine cytosine methylation states.DOI: 10.1093/bioinformatics/btr167.

        Deduplication

        Created with MultiQC